Sql developer állás, munka

• Owning the data models and storage architecture behind AI systems, across relational, graph, and retrieval-oriented data
• Building and operating the APIs, backend services, and pipelines that keep data current and accessible

• NET alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok (pl. SQL Server, PostgreSQL, NoSQL) kezelése és optimalizálása

• Participating in backend and frontend development efforts where high-performance and speed play vital role
• Cooperating with product team including UX, UI, and Product management
• Building and coding backend in Node.JS and frontend in React in a complex web application

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Új backend alkalmazások és funkciók fejlesztése Java és kapcsolódó technológiák segítségével
• RESTful API-k tervezése és megvalósítása, amelyek hatékonyan kommunikálnak az adatbázisokkal
• A teljes fejlesztési életciklusban való aktív részvétel: tervezés, fejlesztés, tesztelés és telepítés

• Configuring the P&P platform end to end, across both frontend and backend
• Tuning and optimizing forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go where standard configuration isn’t enough

Designing, developing, testing, documenting, and deploying high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Designing, developing, testing, documenting, and deploying high quality Salesforce solutions, leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Designing, building, reviewing, testing, and maintaining Ruby on Rails features and services in line with Diligent’s agile engineering practices...

• Writing and maintaining clean, high-quality, and efficient code that aligns with project specifications, using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• Learning the existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Proactively highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Developing, testing, and maintaining data pipelines to extract, transform, and load (ETL) data from various sources (APIs, Databases, Files)
• Writing high-quality, maintainable Python code and participating in code reviews

Providing technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment...

• Delivering independently Data Science projects with an end-to-end product-oriented mindset
• Engaging directly with clients to understand their business objectives and translate them into technical requirements

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

• Owning the architecture and delivery of production-grade LLM systems and classical ML solutions
• Designing, evaluating, and optimizing RAG pipelines (retrieval strategy, chunking, indexing, monitoring)